Abstract
In Chap. 11, we considered a model f(x) = \({\varvec{\phi}}\left({{\varvec{x}}}_{i}\right){\varvec{w}}\), where the initial input vector x is replaced by feature vector ϕ(x) = [ϕ0(x), …, ϕM(x)]′. As ideal basis functions ϕ(x) should be localized or adaptive w.r.t. x, we cluster the input dataset {xi|1 ≤ i ≤ N} ⊂ RD into M clusters, and let {μj, 0 ≤ j ≤ M-1} will be the centers of the clusters.
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Lee, J., Chang, JR., Kao, LJ., Lee, CF. (2023). Neural Networks and Deep Learning Algorithm. In: Essentials of Excel VBA, Python, and R. Springer, Cham. https://doi.org/10.1007/978-3-031-14283-3_13
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